Natural Language Processing


NLP 若手の会 (YANS) 第 16 回シンポジウム,2021.

Attention Meets Perturbations: Robust and Interpretable Attention with Adversarial Training

IEEE Access (**Impact Factor: 3.367** in 2020; [1st place in Engineering & Computer Science (general) at Google Scholar Metrics](

Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training for Semi-Supervised Text Classification

We propose a new general training technique for attention mechanisms based on virtual adversarial training (VAT). VAT can compute adversarial perturbations from unlabeled data in a semi-supervised setting for the attention mechanisms that have been …


言語処理学会第 27 回年次大会,2021.


言語処理学会第 27 回年次大会,2021.

Text Classification through Glyph-aware Disentangled Character Embedding and Semantic Sub-character Augmentation

Proc. of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop

AraDIC: Arabic Document Classification using Image-Based Character Embeddings and Class-Balanced Loss

Proc. of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop


言語処理学会第 26 回年次大会,2020.

文字単位の解釈可能な潜在表現の data augmentation

言語処理学会第 26 回年次大会,2020.

Image-based Character Embedding for Arabic Document Classification

言語処理学会第 26 回年次大会,2020.